Optimization is a very important issue in mechanical industry, especially in machining processes, where different … coincidence for a 95%-confidence level. Then, an a posteriori multi-objective optimization is carried out by using a genetic … describe the productivity and tool waste, respectively. The outcome of the optimization process is a set of non …

Combinatorial optimization problems are broadly studied in the literature. On the one hand, their challenging … routing problems constitute a well-known class of combinatorial optimization problems, from which the Traveling Salesman … inspired by biological phenomena are being successfully applied to solve optimization tasks, mainly combinatorial optimization …

to CH or from CH to BS. Reducing the transmission distance is a NP-Hard problem. So, optimization techniques can be used … effectively to solve such problems. In this article, is the implementation of a social group optimization (SGO) to reduce the …

Multi-objective optimization is becoming important day by day due to increase in complexity of the processes and …

work for different optimization parameters like Path Length, Energy and Number of Turns. The proposed algorithm is compared …

Glowworm Swarm Optimization (GSO) is one of the common swarm intelligence algorithms, where GSO has the ability to … GSO optimization process. The authors argue that GSO can be formulated based on the MapReduce parallel programming model …